AI and Machine Learning

Course content	Fundamentals of Machine Learning (ML) Review of machine learning methods and projects Natural Language Processing (NLP) ML in real-world applications (python libraries for text classification based on online real estate data)
Learning outcomes	Understand the basics of Machine Learning Gain knowledge on data pre-processing for ML-based classification Gain practical knowledge of implementing machine learning algorithms/models
Target group	Statisticians, methodologists, data analysts
Requirements	Sound command of English. Participants should be able to make short interventions and to actively participate in discussions Knowledge of programming in Python Basic knowledge of statistics Participant should have his/her own computer with Internet access
Course Schedule	2h - Introduction to ML & NLP Building application for text classification (using Python) 1h - Data preprocessing 2h - Building classifiers 2h - Assessing the model 1h - Summary
Instructors	Dominik Dąbrowski, Statistics Poland Bartosz Grancow, Statistics Poland
How to register	All persons interested in taking part in the course are therefore kindly requested to fill the registration form and send it to the email address: intrelations@stat.gov.pl by 3 April 2024 at the latest.

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IAOS-ISI 2024, Mexico City

AI and Machine Learning

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